Customer Support AI Agent by Belsterns: Reduce Tickets, Automate Support, Improve Response Time
- Philip Moses
- May 23
- 3 min read
Customer Support AI Agent
Reimagining Support—From Queued Tickets to Instant Resolution
In this blog, we introduce Belsterns Technologies' Customer Support AI Agent—an intelligent assistant designed to automate routine customer queries and support L1 teams. You’ll learn:
Why this AI agent was built
How it functions in real-time support scenarios
The specific problems it solves for support teams
How you can try it out yourself through our live simulation
Our long-term vision to build open-source AI agents that run offline on low-resource systems
How you can customize this solution for your business needs
We’ll also direct you to our AI Playground and share a LinkedIn demo showing how to use the Customer Support AI Agent in action.
Why This Agent Exists: Augment, Don’t Replace
Support teams today face constant pressure, especially during peak hours when queries flood in. Most of these are simple, repetitive issues like:
“Why is my internet slow?”
“What’s the status of my ticket?”
These basic questions overwhelm L1 engineers and delay responses to more serious issues. Our Customer Support AI Agent is designed to relieve that pressure, reduce bottlenecks, and automate repetitive tasks—not replace your team, but empower them.
How It Works: Try It Yourself
This AI simulation mirrors a real customer support scenario. It interacts through email just like a human support rep, offering you a real-time preview of how automation fits into your operations.
Step 1: Enter the Details
Provide four simple inputs:
Customer Email – to receive updates and troubleshooting instructions
Support Email – to receive internal notifications/escalations
Issue Description – a short summary of the problem
Internet Status – select from: Active, Slow, or Down
Step 2: The AI Gets to Work
The agent:
Analyzes the issue based on the input
Determines whether it’s a customer-side or infrastructure issue
Prepares an intelligent response
Step 3: Smart Response Delivery
Depending on its diagnosis, the AI will:
Email troubleshooting steps to the customer for user-side issues
Escalate to the support team, sending a summary to both emails for backend issues
These emails are sent live, letting you see both ends of the conversation.
Solving the Real Support Bottlenecks
The agent is built to handle three major challenges in support operations:
⏳ High Query Volume Responds instantly to repetitive, basic questions.
🧠 Human Overload Reduces burnout by letting your engineers focus on escalated cases.
🔁 Lack of Consistency Follows a standardized process every time—no variation, no shortcuts.
It also integrates with live data sources like PostgreSQL databases to fetch current service status, eliminating the need for manual checks.
Want to see it in action? Head over to our Belsterns AI Playground to experience this simulation live.
📌 Our Goal: To build and share open-source AI agents that:
Work offline
Run efficiently on traditional CPUs
Require low RAM
Are accessible to everyone
We believe AI should be usable by all—not just companies with deep pockets and expensive infrastructure.
📣 Watch It in Action on LinkedIn
See step-by-step how the agent operates and how real-time emails simulate support workflows.
💼 Customization for Your Business? We’ve Got You
Looking to bring this capability into your company?
Reach out to us at Belsterns Technologies. We’ll customize this AI agent to suit your infrastructure, business rules, and workflows.
Whether you want specific escalation rules, deeper integrations, or UI adjustments—we’re here to tailor the solution according to your needs.
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